{
    "info": {
        "author": "ETS Developers",
        "author_email": "enthought-dev@enthought.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: OS Independent",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "===================================================================\nblockcanvas: visual environment for creating simulation experiments\n===================================================================\n\nhttp://github.enthought.com/blockcanvas\n\nThe blockcanvas project provides a visual environment for creating simulation\nexperiments, where function and data are separated. Thus, you can define your\nsimulation algorithm by visually connecting function blocks into a data flow\nnetwork, and then run it with various data sets (known as \"contexts\");\nlikewise, you can use the same context in a different functional simulation.\n\nThe project provides support for plotting, function searching and inspection,\nand optimization. It includes a stand-alone application that demonstrates the\nblock-canvas environment, but the same functionality can be incorporated into\nother applications.\n\nThe blockcanvas project relies on included libraries that allow multiple data\nsets using Numeric arrays to be incorporated in a Traits-based model in a\nway that is simple, fast, efficient, and consistent.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "http://www.enthought.com/repo/ets/blockcanvas-4.0.3.tar.gz",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/enthought/blockcanvas",
        "keywords": null,
        "license": "BSD",
        "maintainer": null,
        "maintainer_email": null,
        "name": "blockcanvas",
        "package_url": "https://pypi.org/project/blockcanvas/",
        "platform": "Windows,Linux,Mac OS-X,Unix,Solaris",
        "project_url": "https://pypi.org/project/blockcanvas/",
        "project_urls": {
            "Download": "http://www.enthought.com/repo/ets/blockcanvas-4.0.3.tar.gz",
            "Homepage": "https://github.com/enthought/blockcanvas"
        },
        "release_url": "https://pypi.org/project/blockcanvas/4.0.3/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "visual environment for creating simulation experiments",
        "version": "4.0.3"
    },
    "last_serial": 802792,
    "releases": {
        "4.0.0": [],
        "4.0.1": [],
        "4.0.3": []
    },
    "urls": []
}